SANet: A Slice-Aware Network for Pulmonary Nodule Detection
SANet
A Slice-Aware Network for Pulmonary Nodule Detection.
This paper (SANet) has been accepted and early accessed in IEEE TPAMI 2021.
This code and our data are licensed for non-commerical research purpose only.
Introduction
Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary nodules makes it possible to detect lung cancer in the early stage, and thoracic computed tomography (CT) provides a convenient way to diagnose nodules. However, it is hard even for experienced doctors to distinguish them from the massive CT slices. The currently existing nodule datasets are limited in both scale and category, which is insufficient and greatly restricts its applications. In this paper, we collect the largest and most diverse dataset named PN9 for pulmonary nodule